Random
We use rake weighting to make our sample representative of the national population. In particular we weight our data to match national targets on the following variables: country, age, gender, ethnicity, highest qualification, housing tenure, work status, political attention, 2019 general election vote, and 2016 EU referendum vote.
Because only a sample of the full population was interviewed, all results are subject to margin of error, meaning that not all differences are statistically significant. For example, in a question where 50% (the worst case scenario as far as margin of error is concerned) gave a particular answer, with a sample of 1000 it is 95% certain that the ‘true’ value will fall within the range of 3.1% from the sample result. This is based on the current parliamentary electors of approximately 45,000,000 Sub-samples from the cross-breaks will be subject to higher margin of error. Conclusions drawn from cross-breaks with very small sub-samples should be treated with caution.
mailto:polling@omnisis.co.uk
Omnisis are members of the The British Polling Council and abides by it’s rules and regulations for published opinion polling & are also members of ESOMAR. Brian Cooper is a CMRS.
http://www.britishpollingcouncil.org
Omnisis Ltd Registered in England & Wales Number 04602421
All polls are subject to a wide range of potential sources of error. On the basis of the historical record of the polls at recent general elections, there is a 9 in 10 chance that the true value of a party’s support lies within 4 points of the estimates provided by this poll, and a 2 in 3 chance that they lie within 2 points.
